Partnerships for TomorrowEconolite Group’s Commitment to Innovation

Introduction

Econolite is committed to the development and advancement of future-forward initiatives like connected vehicle technologies and other leading-edge innovations to meet the needs of the transportation industry.

From helping shape policy and industry standards to collaborating with leading technology partners, Econolite’s goal is to improve quality of life through innovation and the connected vehicle promise of increased roadway safety, efficiency, and sustainability.

Connected Vehicle / Infrastructure Technologies

Recent advances in traffic management equipment leveraging wireless communications, such as dedicated short-range communications (DSRC), are helping drive the implementation and deployment of communications-based connected vehicle systems.

By using the 5.9 GHz DSRC (IEEE 802.11p standard) to enable data exchanges between vehicles and roadway infrastructure, connected vehicle communications help complete the smart driving environment picture. Any vehicle to infrastructure (V2I) strategy must start with a powerful ATMS software solution that can provide geometric awareness to perform calculations that will enable the connected vehicle and predictive transportation control that is now being adopted by automotive manufacturers and the international Intelligent Transportation System (ITS) community.

Econolite’s Centracs® ATMS, combined with advanced transportation controllers (ATC) such as Cobalt™ ATC (5.2b and 6.10), vehicle detection solutions,

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and DSRC can provide groundbreaking V2I connected vehicle-based traffic management capabilities to implement new strategies such as collision avoidance and predictive congestion mitigation.

Centracs supports the DSRC Society of Automotive Engineers (SAE) J2735 Message Set Dictionary standard that provides the critical wireless communication required for an effective V2I system. Controlling the intersection requires a traffic signal controller such as Cobalt that supports SPaT (Signal Phase and Timing) status information from DRSC-based Roadside Equipment (RSE).

A connected vehicle environment requires new levels of traffic management capabilities, particularly multi-tasking vehicle detection solutions. From its line of Autoscope® video detection that uses state-of-the-art video image processing to its portfolio of above and below ground sensors that deliver high-resolution detection, Econolite provides a full range of multi-modal detection options to satisfy the needs of virtually any traffic network.

Connected Vehicle Technology Partnerships and Affiliations

An example of Econolite’s focus on advancing real world connected vehicle applications is its participation in connected vehicle research programs, technology partnerships and collaborations.

Multi-Modal Intelligent Traffic Signal System

Econolite Group, Inc., in cooperation with the University of Arizona, and Savari Networks, Inc. has helped develop a deployable Multi-Modal Intelligent Traffic Signal System (MMITSS). MMITSS operates in a connected vehicle environment (vehicle to vehicle – V2V; and vehicle to infrastructure – V2I). ) This work is available for use by all transportation agencies ready to participate in Connected Vehicle model deployment initiatives.

The MMITSS initiative is supported by the CTS Pooled Fund project, as well as Maricopa County Department of Transportation, Arizona Department of Transportation, and California Partners for Advanced Transportation Technology (PATH).

Smarter Cities: Traffic Predictive Pattern Solution (TPPS)

Econolite and IBM have collaborated to develop an innovative approach to enabling predictive traffic management capabilities. The Traffic Predictive Pattern

Solution (TPPS) is an integration of IBM Intelligent Transportation and Econolite Advanced Transportation Management Systems (ATMS).

Representing a convergence of technologies, the Econolite-IBM collaboration will use Econolite’s Centracs ATMS to provide the traffic data required to power the predictive capabilities of IBM’s Intelligent Transportation solution analytics. In turn, IBM’s predictive information will be communicated back to the Econolite Centracs system to make appropriate traffic control pattern changes in advance of predicted increases in traffic volume. This enables automatic managed traffic volume that predicts travel times and traffic volume up to one hour in the future. This provides new capabilities for optimizing traffic flow and increasing operational efficiencies of traffic signal plans.

UMTRI - Mobility Transformation Center (MTC)

Econolite has been a long-time supporter of fostering innovation through academia and research, partnering with many universities and programs focusing on traffic management and safety. Recently, Econolite became a founding corporate partner of the University of Michigan’s Mobility Transformation Center (MTC), which is part of the University of Michigan Transportation Research Institute (UMTRI).

As part of the USDOT’s Safety Pilot Model Deployment in Ann Arbor, MI, UMTRI has tested connected vehicles extensively. With the inclusion of ATMS software and ITS equipment contributed by Econolite, MTC will implement a comprehensive V2I research program to validate its simulations of the real-world complexities encountered by vehicles in urban and suburban environments.